Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

urbanspr1nter
/
search-query-safety-guard

Text Classification
Transformers
Safetensors
English
distilbert
safety
guardrail
llm-guardrails
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use urbanspr1nter/search-query-safety-guard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use urbanspr1nter/search-query-safety-guard with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="urbanspr1nter/search-query-safety-guard")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("urbanspr1nter/search-query-safety-guard")
    model = AutoModelForSequenceClassification.from_pretrained("urbanspr1nter/search-query-safety-guard", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
search-query-safety-guard
269 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
urbanspr1nter's picture
urbanspr1nter
Rewrite model card: describe protected categories and cyber intent boundary in prose; keep MIT. Drop enumerated harmful query strings.
280516b verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    4.55 kB
    Rewrite model card: describe protected categories and cyber intent boundary in prose; keep MIT. Drop enumerated harmful query strings. about 2 months ago
  • config.json
    796 Bytes
    Upload final model (iter5): eval1 F1 0.994, eval2 (fresh) F1 1.000, 0 dangerous leaks. Added id2label/label2id + model card. about 2 months ago
  • model.safetensors
    268 MB
    xet
    Upload final model (iter5): eval1 F1 0.994, eval2 (fresh) F1 1.000, 0 dangerous leaks. Added id2label/label2id + model card. about 2 months ago
  • tokenizer.json
    712 kB
    Upload folder using huggingface_hub 5 months ago
  • tokenizer_config.json
    351 Bytes
    Upload final model (iter5): eval1 F1 0.994, eval2 (fresh) F1 1.000, 0 dangerous leaks. Added id2label/label2id + model card. about 2 months ago